Critiquing Knowledge Representation in Medical Image Interpretation Using Structure Learning.
Niels RadstakePeter J. F. LucasMarina VelikovaMaurice SamulskiPublished in: KR4HC (2010)
Keyphrases
- structure learning
- medical image interpretation
- knowledge representation
- bayesian networks
- graphical models
- image interpretation
- conditional independence
- parameter estimation
- markov networks
- transfer learning
- first order logic
- natural language
- natural language processing
- artificial intelligence
- logic programming
- markov logic networks
- expert systems
- network structure
- image analysis
- knowledge base
- approximate inference
- probabilistic reasoning
- sample size
- maximum likelihood
- random variables
- least squares
- machine learning
- cancer detection
- data sets
- image segmentation
- feature selection
- computer vision
- learning algorithm
- data mining